Google Cloud Platform vs Microsoft Azure
Last updated: August 18, 2022
Google Cloud Platform is a set of modular cloud-based services that allow you to create anything from simple websites to complex applications. Cloud Platform provides the building blocks so you can quickly develop everything from simple websites to complex applications. Explore how you can make Cloud Platform work for you.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any alternative language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
Google Cloud Platform vs Microsoft Azure in our news:
2022. Google Cloud will shutter its IoT Core service next year
Google Cloud announced this week that it’s shutting down its IoT Core service, giving customers a year to move to a partner to manage their IoT devices. It believes that having partners manage the process for customers is a better way to go. “Since launching IoT Core, it has become clear that our customers’ needs could be better served by our network of partners that specialize in IoT applications and services. We have worked extensively to provide customers with migration options and solution alternatives, and are providing a year-long runway before IoT Core is discontinued” a Google spokesperson explained.
2022. Google expands Vertex, its managed AI service, with new features
Roughly a year ago, Google announced the launch of Vertex AI, a managed AI platform designed to help companies to accelerate the deployment of AI models. Today the company announced new features heading to Vertex, including a dedicated server for AI system training and “example-based” explanations. As Google has historically pitched it, the benefit of Vertex is that it brings together Google Cloud services for AI under a unified UI and API. Customers including Ford, Seagate, Wayfair, Cashapp, Cruise and Lowe’s use the service to build, train and deploy machine learning models in a single environment, Google claims — moving models from experimentation to production.
2021. Microsoft launches Azure Container Apps, a new serverless container service
Microsoft today announced the preview launch of Azure Container Apps, a new fully managed serverless container service that complements the company’s existing container infrastructure services like the Azure Kubernetes Service (AKS). Microsoft notes that Azure Container Apps was specifically built for microservices, with the ability to quickly scale based on HTTP traffic, events or long-running background jobs. In many ways, it’s probably most like AWS App Runner, one of Amazon’s small fleet of serverless container services, with App Runner also specifically focused on microservices. Google meanwhile also offers a set of container-centric services, including Cloud Run, its serverless platform for running container-based applications.
2019. Google Cloud gets a new family of cheaper general-purpose compute instances
Google Cloud announced the launch of its new E2 family of compute instances. These new instances, which are meant for general-purpose workloads, offer a significant cost benefit, with saving of around 31% compared to the current N1 general-purpose instances. The new system is also smarter about where it places VMs, with the added flexibility to move them to other hosts as necessary. To achieve all of this, Google built a custom CPU scheduler. Google says that “unlike comparable options from other cloud providers, E2 VMs can sustain high CPU load without artificial throttling or complicated pricing. It’ll be interesting to see some benchmarks that pit the E2 family against similar offerings from AWS and Azure.
2019. Microsoft launched cloud APIs for form and handwriting recognition
Microsoft introduced several new cognitive services on its Azure Machine Learning cloud platform. First, these are gifts for companies dealing with documents, forms and office notes with handwritten text. The Ink Recognizer and Form Recognizer services allow to transform all these paper documents into digital text and data. Conversation Transcription service - transforms phone dialogs into text with each phrase author recognition. Another new service Personalizer allows you to provide personalized recommendations for website or online store visitors basing on behavioral factors. In addition, Microsoft introduced a new visual interface to create machine learning models. Now even marketers can play with ML. You just need to load the database and specify which parameter you want to predict.
2019. Microsoft launched own Windows Virtual Desktop service
Virtual desktop services have been long provided by Microsoft's numerous cloud partners, and now the company has realized that it can do it alone. The new Windows Virtual Desktop service (which is now available for companies on Microsoft Azure cloud platform) allows to install Windows, Office and other software licenses on the cloud, but not on employees' computers. And employees will be able to work with their software via a virtual desktop. What is the sense of this? First, it allows even an old Win7 computer to work fast, and provide Windows 10. Second, it is more convenient for the administrator to create new workplaces, maintain them and ensure security. The service itself is free. You only pay for the additional Azure resources (memory, CPU time) that you consume.
2018. Microsoft Azure gets new high-performance storage options
Microsoft Azure is getting a number of new storage options that mostly focus on use cases where disk performance matters. The first of these is Azure Ultra SSD Managed Disks, which are now in public preview. Microsoft says that these drives will offer “sub-millisecond latency,” which unsurprisingly makes them ideal for workloads where latency matters. Standard SSD Managed Disks are now generally available after only three months in preview. To top things off, all of Azure’s storage tiers (Premium and Standard SSD, as well as Standard HDD) now offer 8, 16 and 32 TB storage capacity. Also new today is Azure Premium files, which is now in preview. This, too, is an SSD-based service. Azure Files itself isn’t new, though. It offers users access to cloud storage using the standard SMB protocol. This new premium offering promises higher throughput and lower latency for these kind of SMB operations.
2018. Google Cloud adds new applications performance monitoring tool
Google added a key ingredient for developers building applications on the Google Cloud Platform - a suite of application performance management tools called Stackdriver APM. It is designed for developers to track issues in the applications they have built instead of passing that responsibility onto operations. The thinking is that the developers who built the applications and are closest to the code are therefore best suited to understand the signals coming from it. StackDriver APM is made up of three main tools: Profiler, Trace and Debugger. Trace and Debugger have already been available, but by putting them together with Profiler, the three tools work together to identify, track and repair code issues.
2017. Google Cloud Platform cuts the price of GPUs by up to 36 percent
Google is cutting the price of using Nvidia’s Tesla GPUs through its Compute Engine by up to 36 percent. In U.S. regions, using the somewhat older K80 GPUs will now cost $0.45 per hour while using the newer and more powerful P100 machines will cost $1.46 per hour (all with per-second billing). Thus Google is aiming this feature at developers who want to run their own machine learning workloads on its cloud, though there also are a number of other applications — including physical simulations and molecular modeling — that greatly benefit from the hundreds of cores that are now available on these GPUs.
2017. Microsoft launched new archival storage option for Azure
Microsoft introduced a new storage option for its Azure cloud computing platform - Azure Archive Blob Storage. This will give developers a cheaper alternative for the long-term storage of large amounts of archival data like logs, raw camera footage, audio recordings, transcripts and medical documents and images. The main difference between the cool and archive tiers is that while archival storage is cheaper, the data retrieval costs are higher. Data that’s stored in the archive tier is also not immediately available for retrieval. The blobs first have to be “rehydrated” and that can take up to 15 hours for blobs that hold less than 50GB of data. It’s worth noting, though, that alternative cold strorage services Amazon Glacier and Google Near have been around for years now.